Research

Research

The IEOR Department is constantly and consistently producing prominent research. In particular, research is conducted in the area of logistics, routing, scheduling, production and supply chain management, inventory control, revenue management, and quality control. New developments are being explored in operations research; in particular, mathematical programming, combinatorial optimization, stochastic modeling, computational and mathematical finance, queueing theory, reliability, simulation, and both deterministic and stochastic network flows.

In finance, research is conducted in portfolio management; option pricing, including exotic and real options; computational finance, such as Monte Carlo simulation and numerical methods; as well as data mining and risk management.

Projects are sponsored and supported by leading private firms and government agencies. In addition, our students and faculty are involved in the work of these research and educational centers: the Center for Applied Probability (CAP), the Center for Financial Engineering (CFE) and the Computational Optimization Research Center (CORC). Both CAP and CORC are supported principally by grants from the National Science Foundation. CAP is a cooperative center involving the School of Engineering and Applied Science, several departments in the Graduate School of Arts and Sciences, and the Graduate School of Business. Its interests are in four applied areas: mathematical and computational finance, stochastic networks, logistics and distribution, and population dynamics.